Stop Pasting Your Code Into ChatGPT For Debugging—Run LLMs Locally Instead
Here's the scenario: You've got a nasty bug, and your first instinct is to copy the suspicious function into ChatGPT. Works great. Except now you've just sent your company's code, your API keys (if you weren't careful), and potentially sensitive business logic to a third party. And you've burned another API call.
There's a better way. Run an open-source LLM locally on your machine, feed it your code directly, and get real debugging help without the privacy tax or the cost per token.
Why Local LLMs Actually Work Now
Six months ago, running a useful LLM on consumer hardware felt like a compromise. Today? Models like Llama 3.2 and Mistral are fast enough and smart enough that you won't miss ChatGPT's responses.
